Sources and Information http://gis.abag.ca.gov/

http://www.actransit.org/planning-focus/data-resource-center//

http://viewer.nationalmap.gov/viewer/

http://www.ccmap.us/catalog http://frap.fire.ca.gov/data/frapgisdata-sw-firethreat_download.php

Spatial Reference: GCS North American 1983

Projection: State Plane, California, Zone III

Datum: North American 1983

Our Goal To identify optimal locations for a

new affordable housing development, we have chosen to identify a series of opportunities

and constraints for residents (and the development) that will by product of this proposal be

compiled into a final suitability analysis.

Client: Real Estate Developer We are a group of socially conscious, real estate developers that believes that a home is a right of every individual. Richmond, California is an incredibly diverse community with 22.1% of its population living below the poverty line. The need for affordable housing cannot be overstated. Our current task is to work with the Richmond Housing Authority to locate optimal sites for a new affordable housing development.

Identifying Site for Affordable Housing in the City of Richmond, California

Cynthia Luzod, Yegor Lyashenko, Gurleen Singh

Methods The final suitability analysis map is compiled of network analyses, 3D analysis, buffered GIS data and unbuffered GIS data.

Schools: Proximity is opportune to promote higher rates of school attendance (calculated with Network Analysis, see Figure 2)

Parks: Proximity is opportune to promote outdoor exercise and decrease likelihood of long term chronic diseases (calculated via Buffer tool)

Public Transportation: Proximity is opportune, seen as cost-effective for low-income residents (calculated via Network Analysis, see Figure 3)

Slope: High slope areas considered a constraint as these areas are costly to develop (calculated via 3D Analysis, see Figure 1)

Fire Hazard: Proximity seen as a constraint as such areas are hazardous to human health (no calculation needed, areas givens weights according to level of fire hazard)

Heavy Industry: Proximity seen as a constraint as such areas are hazardous to human health (calculated via Buffer tool)

Liquefaction: Areas at risk considered a constraint as such areas are hazardous to human health (no calculation needed, areas givens weights according to susceptibility to liquefaction)

Layer Opportunity Weight Schools Within 2, 4, 6, 8, 10

minute drive 5, 4, 3, 2, 1 (respectively)

Public Transportation

200, 400 meter distance

4, 3

Parks 400 , 800 meter buffer

3, 2

Layer Constraint Weight Heavy Industry 800,1600 meter Buffer -4, -3

Liquefaction No Buffer -4, -3, -2,-1

Fire Hazard No Buffer -4, -3, -2,-1

Slope > 34.45 degrees -5

Service Area Analysis 3D Analysis- Slope

Suitability Analysis Opportunities

Constraints

Distance to Schools

Proximity to schools and public transportation (AC bus stops) was considered an opportunity for development. Using a constructed transportation network, network analyses were conducted to identify areas within 10 minutes driving time to schools and within a quarter and half a mile walking distance from bus stops. The analyses were conducted through service area analyses. Weights given to identified areas are depicted below. Analyses are shown above in Figures 2 and 3.

Distance to Public Transportation

Public Transportation Parks Schools

Heavy Industry Fire Hazard Liquefaction

Areas with high slopes were extracted and incorporated into the final suitability analysis, determined to be to costly to develop on. Beginning with NED data, a contour map was created (15 meter intervals) to form a TIN. The constructed TIN was then used to identify different slope degrees. The TIN Triangle used so that the image could be read in a two-dimensional form. Finally, areas with slopes of greater than 34.45 degrees were selected and dissolved into a single polygon and collectively given a weight of -5. The TIN map with identified slope is shown above in ArcScene (Figure 1).

Suitability Results

Figure 2 Figure 3

Figure 1

After performing a union on our constraint and opportunity maps, we created a final suitability map (with values ranging from -11 to 13) that identified the optimal and less than locations for a new affordable housing development. The most constrained and are displayed on the map in red lower values), while more opportune areas are displayed in green (higher values). Our ideal location for a development would be within the green areas valued from 9 to 13. This translates to the Hilltop area and area around San Pablo Avenue. They have been identified as areas “2” and “1” on the map, respectively.

Slope